首页|基于脑机智能微弱信号的高效识别与控制系统

基于脑机智能微弱信号的高效识别与控制系统

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系统以神经与认知科学为基础,利用脑-机接口技术对脑电等生理电信息解析、解码与表征等技术,建立脑电与微弱信号目标的映射关系,进一步探究人脑智能与机器智能的深层次联系。整合人脑的超强环境感知、信息整合、快速决策等优势和机器脑的大容量存储、快速计算、精准执行等能力,建立以人为中心,人机混合,同感知、同决策、同执行,突破传统智能的脑机混合智能系统,实现对微弱信号目标的高效识别与控制,为脑-机接口技术在提升无人系统性能与控制策略等方面提供技术支撑,为实现人机交互、人机协作、人机共融奠定技术储备。
Efficient recognition and control system for weak signals based on brain-computer intelligence
Based on neuroscience and cognitive science,this system utilizes brain-computer interface technology to analyze,decode and characterize physiological electrical information such as EEG.It establishes a mapping relationship between EEG and weak signal targets,further explores the deep connection between human brain intelligence and machine intelligence,integrates the advantages of the human brain's super environmental perception,information integration,rapid decision-making,and the capabilities of the computer's large-capacity storage,fast calculation,precise execution,etc.The system establishes a human-centered,human-computer hybrid system with collaborative perception,decision-making,and execution,breaking through the traditional intelligent brain-computer hybrid intelligent system.It realizes efficient recognition and control of weak signal targets,providing technical support for brain-computer interface technology in improving unmanned system performance and control strategies,and laying technical reserves for human-computer interaction,human-computer collaboration,and human-computer integration.

brain-computer intelligencehuman-computer hybrid intelligenceefficient recognition and control

姚欣、李保雪、王宁心

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中国电子科技集团公司第二十七研究所,河南 郑州 450047

中国新时代科技有限公司,北京 100010

脑机智能 人机混合 高效识别与控制

2024

中国高新科技
中华预防医学会,国家食品安全风险评估中心

中国高新科技

ISSN:
年,卷(期):2024.(16)